Managing learning continuity is critical for successful MOOC learning. Thus, enabling learners to have learning persistence needs to be integrated into the MOOC learning design. Motivation effort is a critical component enabling students to maintain continuous MOOC learning. The expectancy-value theory explains why learners engage in learning: (1) they have a higher perceived ability for learning success, (2) place value on learning, and (3) avoid psychological costs. However, it is unclear how these factors affect MOOC learning persistence and how learners' motivation is formed from this perspective. This experimental study explored how learners' motivational variables affect their learning persistence, focusing on the expectancy-value theory. The results of this study indicated that academic self-efficacy and task value had significant positive effects on learning persistence. The structural relationship of antecedent, process, and outcome variables showed that teaching presence as an antecedent had a significantly positive effect on academic self-efficacy and task value. Among the three factors of the expectancy-value theory, only the task value influenced learning persistence through student engagement as a mediator. Based on the results, suggestions are provided for motivating MOOC environments that support learners' continuous MOOC learning.
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http://dx.doi.org/10.3389/fpsyg.2022.958945 | DOI Listing |
BMC Med Educ
December 2024
Department of Neurology, The Second Hospital & Clinical Medical School, Lanzhou University, No. 82, Cuyingmen, Chengguan District, Lanzhou, 730000, China.
Background: Due to the complex and abstract anatomy of the nervous system, neurology has become a difficult subject for students of clinical disciplines. It is imperative to develop new teaching methods to improve students' enthusiasm for learning this course. Small private online courses (SPOC) combined with problem based learning (PBL) blended teaching models based on massive open online course (MOOC) provides a new direction for future neurology teaching reform.
View Article and Find Full Text PDFPeerJ Comput Sci
August 2024
Learning Design and Technology Department, College of Education, University of Jeddah, Jeddah, Saudi Arabia.
Background: This study was motivated by the increasing popularity of Massive Open Online Courses (MOOCs) and the challenges they face, such as high dropout and failure rates. The existing knowledge primarily focused on predicting student dropout, but this study aimed to go beyond that by predicting both student dropout and course results. By using machine learning models and analyzing various data sources, the study sought to improve our understanding of factors influencing student success in MOOCs.
View Article and Find Full Text PDFFront Artif Intell
November 2024
Otermans Institute, London, United Kingdom.
Adv Simul (Lond)
November 2024
Public Health Department, Medical Simulation Center, University of Liège, Liège, Belgium.
Faculty development in medical simulation is a growing need, given the increased use of simulation-based learning in healthcare. Training of trainers is demanding and resource-consuming; therefore, there is a need for accessible, practical, and resource-saving solutions enabling efficient faculty development. For that purpose, we investigated whether a massive open online course (MOOC) could meet these challenges.
View Article and Find Full Text PDFHeliyon
November 2024
Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicent sos Baynat, s/n, Castellón de la Plana, 12071, Spain.
Due to its inherent flexibility and adaptability, e-learning has become a versatile and effective educational option, with video-based learning (VBL) enabling asynchronous engagement. Despite the wealth of video resources, evaluating their effectiveness remains challenging. This study employs a comprehensive approach, analyzing student behavior and video metadata to assess educational videos' efficacy.
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